TY - GEN
T1 - A graph-based approach for dynamic compressor modeling in vapor compression systems
AU - Aksland, Christopher T.
AU - Koeln, Justin P.
AU - Alleyne, Andrew G.
N1 - Funding Information:
This material is based upon work by the National Science Foundation Engineering Research Center for Power Optimization of Electro Thermal Systems (POETS) with cooperative agreement EEC-1449548.
Publisher Copyright:
Copyright © 2017 ASME.
PY - 2017
Y1 - 2017
N2 - Vapor compression systems are widely used as thermal management systems. To satisfy thermal demands, models are used to control and optimize the system's performance, reliability, and efficiency. Significant effort has been made to model the condenser and evaporator, while there has been minimal focus on control-oriented modeling of the compressor. Initial work illustrates that during transient behavior, the working fluid exhibits a fast dynamic. However, during a startup and shutdown sequence, the working fluid follows a slower dynamic believed to be associated with heat transfer to the shell. To address both thermal dynamics, a graph-based modeling approach is used to incorporate the compressor shell's thermal capacitance into the model. Experimental and simulation data are compared for a range of operating conditions including shutdown and startup dynamics.
AB - Vapor compression systems are widely used as thermal management systems. To satisfy thermal demands, models are used to control and optimize the system's performance, reliability, and efficiency. Significant effort has been made to model the condenser and evaporator, while there has been minimal focus on control-oriented modeling of the compressor. Initial work illustrates that during transient behavior, the working fluid exhibits a fast dynamic. However, during a startup and shutdown sequence, the working fluid follows a slower dynamic believed to be associated with heat transfer to the shell. To address both thermal dynamics, a graph-based modeling approach is used to incorporate the compressor shell's thermal capacitance into the model. Experimental and simulation data are compared for a range of operating conditions including shutdown and startup dynamics.
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U2 - 10.1115/DSCC2017-5238
DO - 10.1115/DSCC2017-5238
M3 - Conference contribution
AN - SCOPUS:85036639971
T3 - ASME 2017 Dynamic Systems and Control Conference, DSCC 2017
BT - Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems;Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems
PB - American Society of Mechanical Engineers
T2 - ASME 2017 Dynamic Systems and Control Conference, DSCC 2017
Y2 - 11 October 2017 through 13 October 2017
ER -